def __init__(self, sr=16000, n_dct_filters=40, n_mels=128, f_max=4000, f_min=20, n_fft=480, hop_ms=10):
super().__init__()
self.n_mels = n_mels
self.dct_filters = np.load('dct_filter.npy')
self.sr = sr
self.f_max = f_max if f_max is not None else sr // 2
self.f_min = f_min
self.n_fft = n_fft
self.hop_length = sr // 1000 * hop_ms
self.pcen_transform = pcen.StreamingPCENTransform(n_mels=n_mels, n_fft=n_fft, hop_length=self.hop_length, trainable=True)
def __init__(self,
sr=16000,
n_dct_filters=40,
n_mels=40,
f_max=4000,
f_min=20,
n_fft=480,
hop_ms=10,
config=None):
super().__init__()
self.config = config
self.n_mels = n_mels # 40
self.sr = sr
self.f_max = f_max if f_max is not None else sr // 2 # 4000
self.f_min = f_min # 20
self.n_fft = n_fft # duan shi fu li ye 480
self.hop_length = sr // 1000 * hop_ms
self.pcen_transform = pcen.StreamingPCENTransform(
n_mels=n_mels,
n_fft=n_fft,
hop_length=self.hop_length,
trainable=True)